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Madrid, ES
System Engineer for Automotive, Madrid
Applus+ IDIADA · Madrid, ES
REST Office
Company Description
Applus+ IDIADA is a global partner to the automotive industry, supporting its clients in their product development activities by providing design, engineering, testing and homologation services. As a TOP Employer certified company, we have a large team of more than 3000 professionals drawn from over 22 countries, as well as an international network of subsidiaries and branch offices in 25 countries which ensures that our clients get customized, added-value solutions. IDIADA offers you the opportunity to develop a career in one of the worldwide leading automotive engineering companies.
At Applus IDIADA we are looking for talent to help us shaping the mobility of tomorrow with safer, more efficient and sustainable vehicles. With presence in 22 countries, we offer job positions around the world and internal / transversal mobility within the company. The automotive sector is currently living a moment of deep technological change. At IDIADA, we focus on constant innovation to adapt our services’ portfolio to an ever-changing environment. Therefore, as part of our team, we expect you to be dynamic and eager to learn and grow with us.
If you want an opportunity to challenge yourself and enhance your technical skills, to work in a thriving environment and to work alongside world-leading experts, then apply for one of our vacancies.
Job Description
You will be member of the Architecture team of the Applus IDIADA Group, working coordinated with Head Quarter's office (Santa Oliva, Tarragona), and located in Madrid.
We are looking for a System Engineer, with automotive, naval or aerospace skills or knowledge.
Main activities
Shared with the rest of System Engineering team, will be to give support the following areas, guaranteeing the methodology and traceability, related to System Engineering for an OEM, some activities are defined below:
- Definition of vehicle breakdown structure.
- Requirement definition from vehicle to component level.
- Feature, function, and system specification.
- Test case generation.
- Contact with different stakeholders.
- Contact with technical product definition (experts on the systems/functions).
- Test and validation.
- Component owners.
- Manufacturing.
- Quality.
Profile
- Requirements management.
- Test case definition.
- Passionate in Automotive
- Knowledge of vehicle assembly
- Knowledge of Application lifecycle management tools (Siemens Polarion, IBM DOORS, Vector JAMA, or similar.).
- System engineering tools and processes are valuable (MBSE, Rhapsody, SysML, AUTOSAR...).
- Good communication skills and confident in discussions at different hierarchical levels.
- Knowledge of automotive BUS sector as a must
- Commercial vehicles is highly valuable
Engineer specialized in Electrics, Electronics, Mechatronics, Industrials or similar.
Languages
- Fluent English and Spanish
- Italian will be valuable
Applus IDIADA is committed to diversity and inclusion. We don’t put limits on you, so don’t put limits on yourself either. There is a place for everyone.
Arquitecto técnico
Applus+ · Valladolid, ES
Dos años mínimo
Applied Scientist
17 mar.Amazon
Barcelona, ES
Applied Scientist
Amazon · Barcelona, ES
Java Python C++ Machine Learning
Description
Are you a scientist interested in pushing the state of the art in computer vision, ML, or LLMs? Are you interested in working on ground-breaking research projects that will lead to great products and scientific publications? Do you wish you had access to large datasets? Answer yes to any of these questions and you’ll fit right in here at Amazon.
We are looking for a hands-on researcher, who wants to derive, implement, and test the next generation of Generative AI, computer vision, ML and NLP algorithms. The research we do is innovative, multidisciplinary, and far-reaching. We aim to define, deploy, and publish cutting edge research. In order to achieve our vision, we think big and tackle technological problems that are cutting edge. Where technology does not exist, we will build it. Where it exists, we modify it to make it work at Amazon scale. We need members who are passionate and willing to learn.
“Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.”
Please visit https://www.amazon.science for more information
#hltech #hitech
Key job responsibilities
- Derive novel computer vision and ML models or LLMs/LMMs.
- Design and develop scalable ML models.
- Work with large datasets.
- Work with large GPU clusters.
- Work closely with software engineering teams to deploy your innovations.
- Publish your work at major conferences/journals.
- Mentor team members in the use of your AI models.
We are a tight-knit group that shares our experiences and help each other succeed. We believe in team work. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. If that sounds like an environment you like, join us.
We are open to hiring candidates to work out of one of the following locations:
Barcelona, B, ESP
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- PhD
- Experience in building machine learning models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
Company - Amazon Spain Services, S.L.U.
Job ID: A2569958